Federated Learning in Vehicular Networks

2 Jun 2020 Ahmet M. Elbir Burak Soner Sinem Coleri

Machine learning (ML) has already been adopted in vehicular networks for such applications as autonomous driving, road safety prediction and vehicular object detection, due to its model-free characteristic, allowing adaptive fast response. However, the training of the ML model brings significant overhead for the data transmission between the parameter server and the edge devices in the vehicles... (read more)

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